News Archives | Page 9 of 11

ROC SDK v1.22 delivers massive accuracy and efficiency improvements

May 13, 2020 | News

The ROC SDK v1.22 delivers the largest set of technological improvements ever delivered in a ROC SDK version, including massive improvements in face recognition accuracy and speed, and newly added periocular and tattoo recognition algorithms. To learn more read...

Rank One Computing releases next-generation periocular recognition algorithm

May 6, 2020 | News

The ROC SDK now comes equipped with a cutting edge periocular recognition algorithm, capable of detecting and identifying persons using only the eye and eyebrow regions of the face. The ROC Periocular algorithm is a direct response to the COVID-19 crisis, and the...

ROC SDK v1.20 delivers top-tier accuracy and unparalleled efficiency in latest NIST 1:N report

Mar 24, 2020 | News

The latest NIST FRVT 1:N report demonstrates the unique combination of accuracy and efficiency delivered by the ROC SDK as compared to industry peers. To learn more read our latest blog post.

Rank One Computing outpaces industry in memory requirements

Feb 12, 2020 | News

For the first time in the January 6th, 2020 report, the National Institute of Standards and Technology (NIST) Face Recognition Vendor Test (FRVT) “Ongoing” benchmark is reporting the peak memory usage of each face recognition algorithm. This measurement, which...

Rank One participates in face recognition policy panel in Washington, D.C.

Dec 12, 2019 | News, Policy

On Dec. 5, the Information Technology and Innovation Foundation (ITIF) hosted a briefing in Washington, D.C., exploring emerging uses of facial recognition in the private sector. The discussion – moderated by Daniel Castro, vice president of ITIF and director of...

Now Available: ROC SDK version 1.20, featuring substantial accuracy improvements and a more robust API

Nov 25, 2019 | News

Rank One announces a major enhancement to the ROC face recognition SDK with the newly released version 1.20. The most significant improvement is in face recognition accuracy, with as much as a 40% reduction in error rates. The embedded algorithm algorithm that ships...